Statistics

  Define “statistics” Identify the variable in a research scenario Distinguish between a population and a sample Classify variables as numerical or categorical Compute frequencies and percentages from two-way tables Distinguish between experiments and observational studies Identify the treatment and outcome variables in an experiment or observational study Identify the treatment and control group in an experiment or observational study Determine when we can or cannot establish causality in our research Module 2 Describe the distribution of a data set Create a dotplot and interpret Create a histogram and interpret Identify the typical value of a data set from a given graph Identify the distribution shape of a given graph Recognize outliers in a given distribution Differentiate between high and low variability in a distribution Create and interpret a bar, Pareto, and pie charts Determine the mode of a data set Compute and interpret the mean Compute and interpret the standard deviation Compute and interpret the median Compute and interpret the IQR Determine which measures of center and spread to use with which distributions Identify measure that are resistant to outliers Compute the five-number summary Use the “fence” method to find potential outliers Create and interpret a boxplot.